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Reseach Article

Reviewing the Pathway of Text-Mining Approaches to Gauge the Applicability in Data Analysis

by Jalaja G., Sajitha N., K.R.Udaya Kumar Reddy
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 125 - Number 3
Year of Publication: 2015
Authors: Jalaja G., Sajitha N., K.R.Udaya Kumar Reddy
10.5120/ijca2015905854

Jalaja G., Sajitha N., K.R.Udaya Kumar Reddy . Reviewing the Pathway of Text-Mining Approaches to Gauge the Applicability in Data Analysis. International Journal of Computer Applications. 125, 3 ( September 2015), 10-15. DOI=10.5120/ijca2015905854

@article{ 10.5120/ijca2015905854,
author = { Jalaja G., Sajitha N., K.R.Udaya Kumar Reddy },
title = { Reviewing the Pathway of Text-Mining Approaches to Gauge the Applicability in Data Analysis },
journal = { International Journal of Computer Applications },
issue_date = { September 2015 },
volume = { 125 },
number = { 3 },
month = { September },
year = { 2015 },
issn = { 0975-8887 },
pages = { 10-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume125/number3/22411-2015905854/ },
doi = { 10.5120/ijca2015905854 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:15:33.768155+05:30
%A Jalaja G.
%A Sajitha N.
%A K.R.Udaya Kumar Reddy
%T Reviewing the Pathway of Text-Mining Approaches to Gauge the Applicability in Data Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 125
%N 3
%P 10-15
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the increasing usage of mobile network and advancement in telecommunication standards, there is a massive growing of social networks those shares and exchanges giant forms of data. Although such forms of information are in various forms e.g. audio, video, text, image, or some specific file formats, but majorities of the transactional data are still in the form of text. Although there is various researches works being carried out in the area of datamining as well as text mining for more than a decade, the commercial usage of such tools is still not practiced owing to various challenges that are unsolved till date. Hence, the prime motive of this paper is to discuss about the fundamentals of text-mining and various significant issues associated with it. It also discusses about some of the review studies being discussed till date on same topic and updates the existing system by presenting more recent information of studies carried out towards text-mining most recently. Finally, the paper discusses exclusively the limitation explored in the existing system and then discusses about the research gap.

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Index Terms

Computer Science
Information Sciences

Keywords

Data mining Document Clustering Text-Mining Machine Learning Pattern Recognition